Fully distributed versus semi-distributed process simulation of a highly managed watershed with mixed land use and irrigation return flow

[1]  K. L. Mapes,et al.  Evaluating SWAT Model Performance for Runoff, Percolation, and Sediment Loss Estimation in Low-Gradient Watersheds of the Atlantic Coastal Plain , 2020, Hydrology.

[2]  Anoop Valiya Veettil,et al.  Multiscale hydrological drought analysis: Role of climate, catchment and morphological variables and associated thresholds , 2020 .

[3]  A. Porporato,et al.  Hydrological Spaces of Long‐Term Catchment Water Balance , 2019, Water Resources Research.

[4]  J. Schneekloth,et al.  Seasonal water needs and opportunities for limited irrigation for Colorado crops , 2019 .

[5]  Jörg Dietrich,et al.  Modifying Automatic Irrigation in SWAT for Plant Water Stress scheduling , 2019, Agricultural Water Management.

[6]  Raghavan Srinivasan,et al.  Multisite evaluation of an improved SWAT irrigation scheduling algorithm for corn (Zea mays L.) production in the U.S. Southern Great Plains , 2019, Environ. Model. Softw..

[7]  E. Jeppesen,et al.  Comparing SWAT with SWAT-MODFLOW hydrological simulations when assessing the impacts of groundwater abstractions for irrigation and drinking water , 2019 .

[8]  Mazdak Arabi,et al.  Coupled SWAT-MODFLOW model for large-scale mixed agro-urban river basins , 2019, Environ. Model. Softw..

[9]  Y. Guan,et al.  Application of SWAT Model with a Modified Groundwater Module to the Semi-Arid Hailiutu River Catchment, Northwest China , 2019, Sustainability.

[10]  Manyu Chen,et al.  Reuse of return flows and its scale effect in irrigation systems based on modified SWAT model , 2019, Agricultural Water Management.

[11]  Anoop Valiya Veettil,et al.  Potential influence of climate and anthropogenic variables on water security using blue and green water scarcity, Falkenmark index, and freshwater provision indicator. , 2018, Journal of environmental management.

[12]  Mazdak Arabi,et al.  A probabilistic appraisal of rainfall-runoff modeling approaches within SWAT in mixed land use watersheds , 2018, Journal of Hydrology.

[13]  M. Jha,et al.  Estimation of water balance and water yield in the Reedy Fork-Buffalo Creek Watershed in North Carolina using SWAT , 2018, International Soil and Water Conservation Research.

[14]  T. Green,et al.  Where is the USA Corn Belt, and how is it changing? , 2018, The Science of the total environment.

[15]  Gabriel B. Senay,et al.  Combining Remote Sensing and Water-Balance Evapotranspiration Estimates for the Conterminous United States , 2017, Remote. Sens..

[16]  Murugesu Sivapalan,et al.  A Stochastic Water Balance Framework for Lowland Watersheds , 2017 .

[17]  Gabriel B. Senay,et al.  Partitioning Evapotranspiration into Green and Blue Water Sources in the Conterminous United States , 2017, Scientific Reports.

[18]  Luis Samaniego,et al.  Scaling, Similarity, and the Fourth Paradigm for Hydrology , 2017, Hydrology and earth system sciences.

[19]  R. Srinivasan,et al.  Assessing the Efficacy of the SWAT Auto-Irrigation Function to Simulate Irrigation, Evapotranspiration, and Crop Response to Management Strategies of the Texas High Plains , 2017 .

[20]  K. Moore,et al.  Predicting saturation‐excess runoff distribution with a lumped hillslope model: SWAT‐HS , 2017 .

[21]  Ludovic Oudin,et al.  Which objective function to calibrate rainfall–runoff models for low-flow index simulations? , 2017 .

[22]  L. Brocca,et al.  How reliable are satellite precipitation estimates for driving hydrological models: A verification study over the Mediterranean area , 2017, Journal of Hydrology.

[23]  P. Gowda,et al.  Modeling long-term water use of irrigated cropping rotations in the Texas High Plains using SWAT , 2017, Irrigation Science.

[24]  Raghavan Srinivasan,et al.  Introduction to SWAT+, A Completely Restructured Version of the Soil and Water Assessment Tool , 2017 .

[25]  P. Rossini,et al.  The Fall of Sleep K-Complex in Alzheimer Disease , 2017, Scientific Reports.

[26]  M. Arabi,et al.  Assessing regional‐scale spatio‐temporal patterns of groundwater–surface water interactions using a coupled SWAT‐MODFLOW model , 2016 .

[27]  Ashok K. Mishra,et al.  Water security assessment using blue and green water footprint concepts , 2016 .

[28]  Olaf David,et al.  The AgroEcoSystem (AgES) Response‐Function Model Simulates Layered Soil‐Water Dynamics in Semiarid Colorado: Sensitivity and Calibration , 2015 .

[29]  K. Abbaspour,et al.  A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model , 2015 .

[30]  J. Arnold,et al.  Development of a grid‐based version of the SWAT landscape model , 2015 .

[31]  Aditya Sood,et al.  Global hydrological models: a review , 2015 .

[32]  I. Chaubey,et al.  Defining Soil and Water Assessment Tool (SWAT) hydrologic response units (HRUs) by field boundaries , 2015 .

[33]  R. Bingner,et al.  Impact of the Agricultural Research Service Watershed Assessment Studies on the Conservation Effects Assessment Project Cropland National Assessment , 2014, Journal of Soil and Water Conservation.

[34]  Farida Dechmi,et al.  SWAT application in intensive irrigation systems: Model modification, calibration and validation , 2012 .

[35]  Desiree Tullos,et al.  Selection of hydrologic modeling approaches for climate change assessment: A comparison of model scale and structures , 2012 .

[36]  Indrajeet Chaubey,et al.  Simulated watershed scale impacts of corn stover removal for biofuel on hydrology and water quality , 2012 .

[37]  E. Raeisi,et al.  Time series analysis of irrigation return flow in a semi-arid agricultural region, Iran , 2012 .

[38]  Naresh Pai,et al.  Field_SWAT: A tool for mapping SWAT output to field boundaries , 2012, Comput. Geosci..

[39]  Kuolin Hsu,et al.  From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models , 2012 .

[40]  Enrique R. Vivoni,et al.  Real-world hydrologic assessment of a fully-distributed hydrological model in a parallel computing environment , 2011 .

[41]  Jeffrey G. Arnold,et al.  Soil and Water Assessment Tool Theoretical Documentation Version 2009 , 2011 .

[42]  Tammo S. Steenhuis,et al.  Development and application of a physically based landscape water balance in the SWAT model , 2011 .

[43]  Karim C. Abbaspour,et al.  Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran , 2010 .

[44]  V. Singh,et al.  A review of drought concepts , 2010 .

[45]  J. Causapé,et al.  Influence of irrigation water management on the quantity and quality of irrigation return flows , 2010 .

[46]  Hoshin Vijai Gupta,et al.  Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling , 2009 .

[47]  T. Jang,et al.  Estimation of irrigation return flow from paddy fields considering the soil moisture , 2009 .

[48]  Kyle R. Mankin,et al.  Comparison of AnnAGNPS and SWAT model simulation results in USDA‐CEAP agricultural watersheds in south‐central Kansas , 2009 .

[49]  S. Mohan,et al.  Prediction of irrigation return flows through a hierarchical modeling approach , 2009 .

[50]  B. Dewandel,et al.  An efficient methodology for estimating irrigation return flow coefficients of irrigated crops at watershed and seasonal scale , 2008 .

[51]  Richard P. Hooper,et al.  Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology , 2007 .

[52]  Sven Kralisch,et al.  Development and application of the modelling system J2000-S for the EU-water framework directive , 2007 .

[53]  A. Sahuquillo,et al.  A general methodology to simulate groundwater flow of unconfined aquifers with a reduced computational cost , 2007 .

[54]  Philip Jordan,et al.  A comparison of SWAT, HSPF and SHETRAN/GOPC for modelling phosphorus export from three catchments in Ireland. , 2007, Water research.

[55]  N. Kannan,et al.  Hydrological modelling of a small catchment using SWAT-2000 – Ensuring correct flow partitioning for contaminant modelling , 2007 .

[56]  K. Abbaspour,et al.  Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT , 2007 .

[57]  John Doherty,et al.  Comparison of hydrologic calibration of HSPF using automatic and manual methods , 2007 .

[58]  M. Arabi,et al.  Cost‐effective allocation of watershed management practices using a genetic algorithm , 2006 .

[59]  P. Krause,et al.  Multiscale investigations in a mesoscale catchment ? hydrological modelling in the Gera catchment , 2006 .

[60]  S. Kanae,et al.  Global Hydrological Cycles and World Water Resources , 2006, Science.

[61]  Victor Koren,et al.  Parameterization of distributed hydrological models: learning from the experiences of lumped modeling , 2006 .

[62]  Patrick M. Reed,et al.  Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design , 2005 .

[63]  Jeffrey G. Arnold,et al.  Modelling the hydrology of a catchment using a distributed and a semi‐distributed model , 2005 .

[64]  J. Arnold,et al.  SWAT2000: current capabilities and research opportunities in applied watershed modelling , 2005 .

[65]  Raghavan Srinivasan,et al.  Return‐flow assessment for irrigation command in the Palleru river basin using SWAT model , 2005 .

[66]  D. Seo,et al.  Overall distributed model intercomparison project results , 2004 .

[67]  D. Lettenmaier,et al.  Hydrologic Sensitivity of Global Rivers to Climate Change , 2001 .

[68]  T. Gan,et al.  Semi-distributed, physically based, hydrologic modeling of the Paddle River Basin, Alberta, using remotely sensed data , 2001 .

[69]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[70]  Dawen Yang,et al.  Comparison of different distributed hydrological models for characterization of catchment spatial variability , 2000 .

[71]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[72]  Jimmy R. Williams,et al.  Continuous-time water and sediment-routing model for large basins , 1995 .

[73]  Soroosh Sorooshian,et al.  Optimal use of the SCE-UA global optimization method for calibrating watershed models , 1994 .

[74]  Keith Beven,et al.  Changing ideas in hydrology — The case of physically-based models , 1989 .

[75]  Olaf David,et al.  Development of the Land-use and Agricultural Management Practice web-Service (LAMPS) for generating crop rotations in space and time , 2016 .

[76]  Olaf David,et al.  The spatially-distributed AgroEcoSystem-Watershed (AgES-W) hydrologic/water quality (H/WQ) model for assessment of conservation effects , 2015 .

[77]  Raghavan Srinivasan,et al.  Threshold Effects in HRU Definition ofthe Soil and Water Assessment Tool , 2015 .

[78]  P. Vadas,et al.  Monitoring runoff from cattle-grazed pastures for a phosphorus loss quantification tool , 2015 .

[79]  Raghavan Srinivasan,et al.  Applications of the SWAT Model Special Section: Overview and Insights. , 2014, Journal of environmental quality.

[80]  Olaf David,et al.  AgroEcoSystem-Watershed (AgES-W) Model Delineation and Scaling , 2014 .

[81]  Olaf David,et al.  A software engineering perspective on environmental modeling framework design: The Object Modeling System , 2013, Environ. Model. Softw..

[82]  L. Ahuja,et al.  AgroEcoSystem-Watershed (AgES-W) Model Evaluation for Streamflow and Nitrogen/Sediment Dynamics on a Midwest Agricultural Watershed , 2012 .

[83]  Xie Xian-hong.  Distributed hydrological modeling of irrigation water use efficiency at different spatial scales , 2010 .

[84]  Lauren E. Hay,et al.  Multiple-Objective Stepwise Calibration Using Luca , 2007 .

[85]  D. K. Borah,et al.  SEDIMENT AND NUTRIENT MODELING FOR TMDL DEVELOPMENT AND IMPLEMENTATION , 2006 .

[86]  K. Abbaspour.  Calibration of Hydrologic Models : When is a Model Calibrated ? , 2005 .

[87]  Jeffrey G. Arnold,et al.  HYDROLOGIC SIMULATION ON AGRICULTURAL WATERSHEDS: CHOOSING BETWEEN TWO MODELS , 2003 .

[88]  L. B. Leopold.  Water, rivers, and creeks , 1997 .